# Train

The Training step, and therefore the Training browser tab, is a bit different for each app. However, for all apps, training simply means showing parts to the vision sensor until it learns how to perform a program with confidence.

The basic training procedure looks as follows:

1. Label minimum two parts for each class.

   At this point, the vision sensor starts to suggest a label for new parts. The Confidence Indicator shows how confident the vision sensor is about the suggested label.

2. Label more parts to improve the confidence of the vision sensor.

3. Continue until you are satisfied with the results.

4. Click Proceed.

Rely on the guidance text that appears in your browser under the labeling buttons to see how well you are doing. The guidance text tells you when you are ready to go on, or when you need to try something different.

## Labeling and Confidence

The bars under the labeling buttons represent the confidence the vision sensor has in correctly labeling the images. The confidence tends to improve as you label more parts. The vision sensor is well-trained once the confidence indicator can suggest labels with two or three bars.

Labeling and Confidence of the Anomaly Detector

Labeling and Confidence of the Classifier

## Additional Features of the Training Tab

- Click View to focus on the Region of Interest.

- For the Anomaly Detector, click Heat Map to highlight the areas that the vision sensor sees as an anomaly.

- For the Classifiers, click Text to show the label of the class on the live feed pane.

- Click Untrain Classifier or Untrain Anomaly Detector to reset the training.